Sang Hyop Lee Presentation

Development of NTA (National Transfer Accounts) Sang-Hyop Lee University of Hawaii at Manoa East-West Center November 1...

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Development of NTA (National Transfer Accounts) Sang-Hyop Lee University of Hawaii at Manoa East-West Center

November 13, 2014 NTA 10, Beijing, PRC

IO L R S F ER C C OU S

N

I ON L R NS F E R C C OU N S

N T I ON L T R NS F E R C C OU N T S

N A T I ON A L T R AN S F E R A C C OU N T S

Two Directors

Key Issues • How population change influences the economy and society (current and future) • What policies can be pursued to influence the outcome—research provides policy tools!

National Transfer Accounts • The goal is to improve our understanding of the generational economy • Describes the age patterns of economic activity and the economic relations between the generations • Quantifies how each age group acquires and uses economic resources • Constructed using existing data (population estimates, surveys, administrative records, macroeconomic data) • Consistent with UN System of National Accounts.

Many Offspring (TFR=over 100)

NTA is comparative: Regional structure NTA Members Asia-Pacific

Americas

Europe

Africa

Australia

Argentina

Austria

Benin

Bangladesh

Brazil

Finland

Ghana

Cambodia

Canada

France

Kenya

China

Chile

Germany

Mozambique

India

Colombia

Hungary

Nigeria

Indonesia

Costa Rica

Italy

Senegal

Japan

El Salvador

Luxembourg

South Africa

Philippines

Jamaica

Netherlands

South Korea

Mexico

Poland

Taiwan

Peru

Russia

Thailand

United States

Slovenia

Vietnam

Uruguay

Spain Sweden Turkey United Kingdom

The continuing effort has been supported by many funders • • • • • • • • • • • •

National Institute on Aging (NIA) Bill and Melinda Gates Foundation International Development Research Center (IDRC), Canada UN Fund for Population Activities (UNFPA) UN Population Division East-West Center, Hawaii Center for the Economics and Demography of Aging, UC Berkeley Asian Development Bank Japan: MEXT.ACADEMIC FRONTIER MacArthur Foundation European Union In-country support from governments and other funders in many countries

Global Meetings 10th Beijing, China, Nov 10-14, 2014 9th Barcelona, June 2013 8th Rio, Brazil, December 2011 7th Honolulu, June 11-12, 2010 6th Berkeley, January 9-10, 2009 5th Seoul, Korea, November 5-6, 2007 4th Berkeley, January 19-20, 2007 3rd Honolulu, January 20-22, 2006 2nd Berkeley, January 2005 1st Berkeley, January 2004

After more than a hundred articles by project members, the first book from the project is out

Manuals, more articles, etc.

Outcomes from NTA • Data improvement • Research and policy awareness – Comparative or country specific

• Capacity building – Global meetings – Regional meetings – Technical/training workshops

17

The Economic Lifecycle

Per Capita Consumption and Labor Income

600

Labor Income

500 400 Consumption

300 200

Large deficits at young and old ages.

100 0 0

20

40

60 Age

80

Aggregate flows, Nigeria 250000 Net cost of children (<25) is 87% of the total labor income of adults 25+

Naira (millions)

200000 150000

Net cost of elderly is very small

100000 50000 0 0

10

20

30

40

50

60

70

Age Consumption

Labor income

80

90+

Human capital spending, Nigeria 250000

Naira (millions)

200000 150000 100000 50000 Only 20% of 0 spending on 0 children goes to human capital (health and education)

10

20

30

40

50

60

70

80

90+

Age Consumption

Human capital spending

Labor income

Fertility/human capital tradeoff Human capital spending (% average annual income age 30–49)

Africa South, Southeast Asia

600

East Asia Europe, Australia, United States

500

Latin America, Caribbean

400 300 200 100 0 0.0

1.0 2.0 3.0 4.0 5.0 Total fertility rate (children per woman)

Updated from NTA database www.ntaccounts.org

6.0

Support ratio, China 1

0.9

Net swing of 1.2% per year in per capita growth due to population age structure

0.8

0.7

0.6 1940

Plus 0.8% per year 1960

1980

2000

Minus 0.4% per year 2020

2040

2060

Annual growth of support ratio, NTA economies, 2010–2050

The economic lifecycle, aggregate flows (United States) 250000

150000 100000 50000 0 0 5 10 15 20 25 30 35 40 45 50 55 60 65 70 75 80 85 90+

US$ (millions)

200000

Consumption

Age Labor Income

Sources of funding consumption (support system)

• Labor income • Transfers

– Familial transfers – Public transfers • Social security system

• Asset-based reallocations – Interest, dividends, rent from personal assets – Home – Dis-saving

Saving Capital-based transformation

Social welfare transformation Traditional society?

Familial Transfers

Public Transfers

Evolution of old-age support system

IN

Assets

PH MX

1/3 US

TH 2/3

UY

KR JP 1/3

TW

CH

ES CRDE 2/3 CL

BR

SI AT HU Family transfers

2/3

Asia

1/3

Europe & US

Latin America

Public SE transfers

Consumption by Sector (Korea) Public Education

Private Education

9,000,000

Public Other

Private Other

8,000,000

Public Health

Private Health

7,000,000

Korean Won

6,000,000 5,000,000 4,000,000 3,000,000 2,000,000 1,000,000 0 0

5

10

15

20

25

30

35

40

45 Age

50

55

60

65

70

75

80

85

90+

Consumption by Sector (Sweden) 500,000 450,000 400,000

Swedish Krona

350,000

Public Education

Private Education

Public Other

Private Other

Public Health

Private Health

300,000 250,000 200,000 150,000 100,000 50,000 0 0

5

10

15

20

25

30

35

40

45 Age

50

55

60

65

70

75

80

85

90+

Social welfare target (Thailand), constrained

Summary: NTA research areas • • • • • • • •

Demographic dividend Economic growth and saving Fiscal sustainability Intergenerational equity Implications for gender issues and inequality Human resources (healthcare and education) Responsibilities of private vs. public sector Retirement and pension issues

Concluding remarks • Our economic systems are being tested by unprecedented changes in population age structure • Stakes are very large: Economic growth, generational equity, economic security for children and elderly, and sustainability of support systems • Complex systems are involved: Governments, labor markets, families, financial markets, and health-care systems • It is essential that policy be informed by the best possible data linking population and the macroeconomy

Thank you